Cognitive Exam Face Recognition Essay

Cognitive Exam Face Recognition Essay

1115 WordsMay 15th, 20125 Pages

FACE RECOOGNITION

This essay will talk about face recognition and several reasons why it has been studied separately. The ability to recognise faces is of huge significance of people’s daily life and differs in important ways from other forms of object recognition (Bruce and Young, 1986). Than this essay will talk about the processes involved in face recognition which comes from the diversity of research about familiar and unfamiliar faces-it includes behavioural studies, studies on brain-damaged patients, and neuroimaging studies. Finally, it will discuss how face recognition differs from the recognition of other object by involving more holistic or configuration processing and different areas of the brain (Eysenck & Keane, 2005).…show more content…

Support for Bruce’s & Young’s (1986) model comes from studies on prosopagnosia-a condition caused by brain damage in which the patient cannot recognise familiar faces but can recognise familiar object. For example, some prosopagnosics patients demonstrate good performance of face recognition but poor performance of identifying facial expression, whereas others show opposite pattern (Young et al., 1993).
Moreover, Bruce and Young (1986) suggested that the name generation component can be accessed only via the appropriate person identity node. Thus, assuming that no brain-damaged patients can put names to face without knowing anything else about the person, however several patients showed the opposite pattern. For instance, Flude et al. (1989) reported that patient, EST, demonstrated greater retrieval of the occupations of familiar people when presented with their faces than when recalling their names. Such studies show that the processing of familiar faces differs from that of unfamiliar ones, because only relevant stored knowledge (e.g., name or occupation) with familiar faces is accessible.
Overly, the model provides coherent explanation of many kind of information about faces and how they relate to each other. It provides evidence about significant differences in processing of familiar and unfamiliar faces. Nonetheless there are limitations. For instance, there is not enough information about processing unfamiliar faces. Burton et al. (1999)

new-borns have the ability to detect faces? Discuss with reference to theories and evidence on face recognition in infancy”.
In order to understand reality, a series of processes and interpretations are necessary to make sense of the world to any individual. Not only interpretation but also the arrangement of information received from our senses is a must to create inside representations of the external world.
This essay seeks to explore if new-borns can detect faces, pointing out theory’s strengths…

FACE RECOGNITION IN JAVA ENVIRONMENT
ABSTRACT: In today’s world, face recognition has its application in many fields incorporating:Automotive sector, image enhancing, robotics, gaming & manufacturing.
It is an exciting field with hurdles. Such as limited hardware, poor visualisation or quality & connectivity. This paper demonstrates a face recognition system in JAVA environment. The aim is to have high recognition rate.
Key words:Face recognition, Open CV, JAVA environment.
I. Introduction:Image…

Automatic face recognition has always been a major focus of research for a few decades, because of numerous practical applications where human identification is needed. Compared to other methods of identification (such as fingerprints, voice, footprint, or retina), face recognition has the advantage of its non-invasive and user friendly nature. Face images can be captured from a distance without interacting with the person, which is particularly beneficial for security and surveillance purposes.…

Abstract— In this paper we implement the Human Face Action Recognition System in Wireless Sensor Network. Detecting movements of human is one of the key applications of wireless sensor networks. Existing technique is detecting movements of a target using face tracking in wireless sensor network work efficiently but here we implementing face action recognition system by using image processing and algorithms with sensors nodes. Using…

The face recognition model developed by Bruce and Young has eight key parts and it suggests how we process familiar and unfamiliar faces, including facial expressions. The diagram below shows how these parts are interconnected. Structural encoding is where facial features and expressions are encoded. This information is translated at the same time, down two different pathways, to various units. One being expression analysis, where the emotional state of the person is shown by facial features. By…

the face recognition in all over the world. It plays a very important role in our daily lives nowadays as it protect us from thieves, used for our identity etc. Some of the techniques for face recognition includes eigenfaces, principle component analysis, independent component analysis, elastic bunch graph machine, range imaging, gabor wavelet networks and many more.
We will focus on some human face recognition techniques using neural networks those are mostly applicable to the frontal faces, and…

The Effect Of Sleep On Face Recognition Memory
Sleep serves multiple purposes, ranging from restoring energy to maintaining homeostasis. Recent research has also shown that sleep plays a crucial role in memory consolidation (Scullin, 2013). There are two main types of long-term memory: explicit (declarative) memory and implicit (procedural) memory. Declarative memory is responsible for learning facts, events, and memories that can be consciously recalled, whereas procedural memory is the unconscious…

The ability of humans to recognise and remember faces is remarkable. Interestingly, there seem to be many factors that influence the performance of facial recognition, such as age, gender, race and even particular social or cultural groups that people belong to.
This experiment explores whether there is gender bias in face recognition.
Own-gender bias in facial recognition is the tendency to recognise individuals from one’s own gender better than individuals from the other gender (Herlitz & Lovén…